Analysis of Survey

Dataset statistics

Number of variables	27
Number of observations	160
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	33.9 KiB
Average record size in memory	216.8 B

Variable types

Categorical	11
Numeric	16

Alerts

`Timestamp` has a high cardinality: 159 distinct values	High cardinality
`Enter your Name:` has a high cardinality: 160 distinct values	High cardinality
`Add a Screen Shot of your Screen time:` has a high cardinality: 160 distinct values	High cardinality
`How many social media platforms are you on?` has a high cardinality: 64 distinct values	High cardinality
`Email Address` has a high cardinality: 160 distinct values	High cardinality
`Roll Number:` is highly overall correlated with `Choose Current year:`	High correlation
`Enter Marks(percentage) For 10th Grade:` is highly overall correlated with `Department:`	High correlation
`Time spend on Facebook? (In hours)` is highly overall correlated with `How many social media platforms are you on?`	High correlation
`Time spend on Pinterest? (In hours)` is highly overall correlated with `Time spend on Reddit? (In hours)` and 1 other fields	High correlation
`Time spend on Twitter? (In hours)` is highly overall correlated with `How many social media platforms are you on?` and 1 other fields	High correlation
`Overall time spent on other application? (In hours)` is highly overall correlated with `How many social media platforms are you on?`	High correlation
`Department:` is highly overall correlated with `Enter Marks(percentage) For 10th Grade:` and 1 other fields	High correlation
`Choose Current year:` is highly overall correlated with `Roll Number:` and 1 other fields	High correlation
`How many social media platforms are you on?` is highly overall correlated with `Time spend on Facebook? (In hours)` and 4 other fields	High correlation
`Time spend on Reddit? (In hours)` is highly overall correlated with `Time spend on Pinterest? (In hours)` and 2 other fields	High correlation
`Time spend on Discord? (In hours)` is highly overall correlated with `Time spend on Pinterest? (In hours)` and 1 other fields	High correlation
`Time spend on Reddit? (In hours)` is highly imbalanced (87.8%)	Imbalance
`Time spend on Discord? (In hours)` is highly imbalanced (74.4%)	Imbalance
`Timestamp` is uniformly distributed	Uniform
`Enter your Name:` is uniformly distributed	Uniform
`Add a Screen Shot of your Screen time:` is uniformly distributed	Uniform
`Email Address` is uniformly distributed	Uniform
`Enter your Name:` has unique values	Unique
`Add a Screen Shot of your Screen time:` has unique values	Unique
`Email Address` has unique values	Unique
`How often do you use social media ? (In hours)` has 5 (3.1%) zeros	Zeros
`Time spent on WhatsApp? (In hours)` has 3 (1.9%) zeros	Zeros
`Time spend on Instagram? (In hours)` has 37 (23.1%) zeros	Zeros
`Time spend on Facebook? (In hours)` has 147 (91.9%) zeros	Zeros
`Time spend on YouTube? (In hours)` has 12 (7.5%) zeros	Zeros
`Time spend on Snapchat? (In hours)` has 62 (38.8%) zeros	Zeros
`Time spend on Pinterest? (In hours)` has 134 (83.8%) zeros	Zeros
`Time spend on Twitter? (In hours)` has 136 (85.0%) zeros	Zeros
`Time spend on Telegram? (In hours)` has 131 (81.9%) zeros	Zeros
`Overall time spent on other application? (In hours)` has 34 (21.2%) zeros	Zeros
`What is the maximum time that you have spent away from your phone? (In hours)` has 3 (1.9%) zeros	Zeros
`Entertainment usage time while using phone(per day) (In hours)` has 4 (2.5%) zeros	Zeros
`Productivity and finance time while using phone (per day)(In hours)` has 22 (13.8%) zeros	Zeros

Reproduction

Analysis started	2023-04-13 09:33:39.373969
Analysis finished	2023-04-13 09:37:10.382444
Duration	3 minutes and 31.01 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

Timestamp
Categorical

HIGH CARDINALITY UNIFORM

Distinct	159
Distinct (%)	99.4%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

4/5/2023 12:16:04	2
4/5/2023 11:06:22	1
4/6/2023 13:55:49	1
4/6/2023 13:16:10	1
4/6/2023 13:16:12	1
Other values (154)	154

Length

Max length	17
Median length	17
Mean length	16.99375
Min length	16

Characters and Unicode

Total characters	2719
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	158 ?
Unique (%)	98.8%

Sample

1st row	4/5/2023 11:06:22
2nd row	4/5/2023 11:23:32
3rd row	4/5/2023 11:47:12
4th row	4/5/2023 11:47:52
5th row	4/5/2023 11:55:21

Common Values

Value	Count	Frequency (%)
4/5/2023 12:16:04	2	1.2%
4/5/2023 11:06:22	1	0.6%
4/6/2023 13:55:49	1	0.6%
4/6/2023 13:16:10	1	0.6%
4/6/2023 13:16:12	1	0.6%
4/6/2023 13:16:25	1	0.6%
4/6/2023 13:17:51	1	0.6%
4/6/2023 13:19:35	1	0.6%
4/6/2023 13:20:23	1	0.6%
4/6/2023 13:21:46	1	0.6%
Other values (149)	149	93.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
4/5/2023	82	25.6%
4/6/2023	78	24.4%
12:16:04	2	0.6%
14:03:59	1	0.3%
12:01:23	1	0.3%
19:57:53	1	0.3%
12:03:21	1	0.3%
11:47:12	1	0.3%
11:47:52	1	0.3%
11:55:21	1	0.3%
Other values (151)	151	47.2%

Most occurring characters

Value	Count	Frequency (%)
2	484	17.8%
/	320	11.8%
:	320	11.8%
1	282	10.4%
4	273	10.0%
3	273	10.0%
0	243	8.9%
	160	5.9%
5	158	5.8%
6	117	4.3%
Other values (3)	89	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1919	70.6%
Other Punctuation	640	23.5%
Space Separator	160	5.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	484	25.2%
1	282	14.7%
4	273	14.2%
3	273	14.2%
0	243	12.7%
5	158	8.2%
6	117	6.1%
8	33	1.7%
9	28	1.5%
7	28	1.5%

Other Punctuation

Value	Count	Frequency (%)
/	320	50.0%
:	320	50.0%

Space Separator

Value	Count	Frequency (%)
	160	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2719	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	484	17.8%
/	320	11.8%
:	320	11.8%
1	282	10.4%
4	273	10.0%
3	273	10.0%
0	243	8.9%
	160	5.9%
5	158	5.8%
6	117	4.3%
Other values (3)	89	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2719	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	484	17.8%
/	320	11.8%
:	320	11.8%
1	282	10.4%
4	273	10.0%
3	273	10.0%
0	243	8.9%
	160	5.9%
5	158	5.8%
6	117	4.3%
Other values (3)	89	3.3%

Enter your Name:
Categorical

HIGH CARDINALITY UNIFORM UNIQUE

Distinct	160
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

Patel Areeb Aatif	1
Safi punjabi	1
Rifah mirkar	1
Ayan shaikh	1
Adnan Shaikh	1
Other values (155)	155

Length

Max length	40
Median length	31.5
Mean length	17.50625
Min length	4

Characters and Unicode

Total characters	2801
Distinct characters	61
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	160 ?
Unique (%)	100.0%

Sample

1st row	Patel Areeb Aatif
2nd row	Safi punjabi
3rd row	Shaikh mohd yaseen
4th row	Rida shaikh
5th row	Alfiya patel

Common Values

Value	Count	Frequency (%)
Patel Areeb Aatif	1	0.6%
Safi punjabi	1	0.6%
Rifah mirkar	1	0.6%
Ayan shaikh	1	0.6%
Adnan Shaikh	1	0.6%
Kazi adnan vasim	1	0.6%
Momin Zeeshan Ahmed Ashfaque	1	0.6%
Shaikh Samiya Azgar	1	0.6%
Midhat Ansari	1	0.6%
Ansari Mohammed Saif	1	0.6%
Other values (150)	150	93.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
shaikh	40	9.5%
ansari	17	4.1%
mohammed	14	3.3%
khan	13	3.1%
abdul	9	2.1%
ahmed	8	1.9%
mohd	7	1.7%
mohammad	5	1.2%
mohammed	4	1.0%
sayyed	3	0.7%
Other values (261)	299	71.4%

Most occurring characters

Value	Count	Frequency (%)
a	433	15.5%
	334	11.9%
h	218	7.8%
i	188	6.7%
e	119	4.2%
n	118	4.2%
d	113	4.0%
A	107	3.8%
m	104	3.7%
r	102	3.6%
Other values (51)	965	34.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1979	70.7%
Uppercase Letter	475	17.0%
Space Separator	334	11.9%
Decimal Number	10	0.4%
Other Punctuation	2	0.1%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	433	21.9%
h	218	11.0%
i	188	9.5%
e	119	6.0%
n	118	6.0%
d	113	5.7%
m	104	5.3%
r	102	5.2%
s	91	4.6%
u	69	3.5%
Other values (15)	424	21.4%

Uppercase Letter

Value	Count	Frequency (%)
A	107	22.5%
S	96	20.2%
M	67	14.1%
H	32	6.7%
K	26	5.5%
R	22	4.6%
N	17	3.6%
I	15	3.2%
D	13	2.7%
U	10	2.1%
Other values (15)	70	14.7%

Decimal Number

Value	Count	Frequency (%)
9	2	20.0%
6	2	20.0%
8	1	10.0%
1	1	10.0%
3	1	10.0%
2	1	10.0%
5	1	10.0%
7	1	10.0%

Space Separator

Value	Count	Frequency (%)
	334	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	2	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2454	87.6%
Common	347	12.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	433	17.6%
h	218	8.9%
i	188	7.7%
e	119	4.8%
n	118	4.8%
d	113	4.6%
A	107	4.4%
m	104	4.2%
r	102	4.2%
S	96	3.9%
Other values (40)	856	34.9%

Common

Value	Count	Frequency (%)
	334	96.3%
9	2	0.6%
.	2	0.6%
6	2	0.6%
8	1	0.3%
1	1	0.3%
3	1	0.3%
2	1	0.3%
5	1	0.3%
7	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2801	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	433	15.5%
	334	11.9%
h	218	7.8%
i	188	6.7%
e	119	4.2%
n	118	4.2%
d	113	4.0%
A	107	3.8%
m	104	3.7%
r	102	3.6%
Other values (51)	965	34.5%

Roll Number:
Real number (ℝ)

Distinct	158
Distinct (%)	98.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	155339.6

Minimum	19763
Maximum	221258
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	19763
5-th percentile	20415
Q1	20545.5
median	210449
Q3	220534.5
95-th percentile	221239.05
Maximum	221258
Range	201495
Interquartile range (IQR)	199989

Descriptive statistics

Standard deviation	91280.189
Coefficient of variation (CV)	0.587617
Kurtosis	-1.3514065
Mean	155339.6
Median Absolute Deviation (MAD)	10754
Skewness	-0.80966384
Sum	24854336
Variance	8.3320729 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20415	2	1.2%
20430	2	1.2%
210414	1	0.6%
210403	1	0.6%
210453	1	0.6%
210457	1	0.6%
210404	1	0.6%
210450	1	0.6%
210463	1	0.6%
210405	1	0.6%
Other values (148)	148	92.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
19763	1	0.6%
20401	1	0.6%
20407	1	0.6%
20409	1	0.6%
20410	1	0.6%
20411	1	0.6%
20414	1	0.6%
20415	2	1.2%
20417	1	0.6%
20418	1	0.6%

Value	Count	Frequency (%)
221258	1	0.6%
221257	1	0.6%
221256	1	0.6%
221253	1	0.6%
221251	1	0.6%
221249	1	0.6%
221241	1	0.6%
221240	1	0.6%
221239	1	0.6%
221238	1	0.6%

Department:
Categorical

Distinct	6
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

Computer	91
Artificial Intelligence	32
Electronics	23
Information Technology	7
Electrical	4

Length

Max length	23
Median length	8
Mean length	12.13125
Min length	8

Characters and Unicode

Total characters	1941
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Computer
2nd row	Information Technology
3rd row	Information Technology
4th row	Information Technology
5th row	Electronics

Common Values

Value	Count	Frequency (%)
Computer	91	56.9%
Artificial Intelligence	32	20.0%
Electronics	23	14.4%
Information Technology	7	4.4%
Electrical	4	2.5%
Mechanical	3	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
computer	91	45.7%
artificial	32	16.1%
intelligence	32	16.1%
electronics	23	11.6%
information	7	3.5%
technology	7	3.5%
electrical	4	2.0%
mechanical	3	1.5%

Most occurring characters

Value	Count	Frequency (%)
e	224	11.5%
t	189	9.7%
i	165	8.5%
r	157	8.1%
o	142	7.3%
l	137	7.1%
c	131	6.7%
n	111	5.7%
m	98	5.0%
C	91	4.7%
Other values (14)	496	25.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1703	87.7%
Uppercase Letter	199	10.3%
Space Separator	39	2.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	224	13.2%
t	189	11.1%
i	165	9.7%
r	157	9.2%
o	142	8.3%
l	137	8.0%
c	131	7.7%
n	111	6.5%
m	98	5.8%
p	91	5.3%
Other values (7)	258	15.1%

Uppercase Letter

Value	Count	Frequency (%)
C	91	45.7%
I	39	19.6%
A	32	16.1%
E	27	13.6%
T	7	3.5%
M	3	1.5%

Space Separator

Value	Count	Frequency (%)
	39	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1902	98.0%
Common	39	2.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	224	11.8%
t	189	9.9%
i	165	8.7%
r	157	8.3%
o	142	7.5%
l	137	7.2%
c	131	6.9%
n	111	5.8%
m	98	5.2%
C	91	4.8%
Other values (13)	457	24.0%

Common

Value	Count	Frequency (%)
	39	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1941	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	224	11.5%
t	189	9.7%
i	165	8.5%
r	157	8.1%
o	142	7.3%
l	137	7.1%
c	131	6.7%
n	111	5.7%
m	98	5.0%
C	91	4.7%
Other values (14)	496	25.6%

Choose Current year:
Categorical

Distinct	3
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

First year	64
Second year	49
Third year	47

Length

Max length	11
Median length	10
Mean length	10.30625
Min length	10

Characters and Unicode

Total characters	1649
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Second year
2nd row	First year
3rd row	Second year
4th row	Second year
5th row	Third year

Common Values

Value	Count	Frequency (%)
First year	64	40.0%
Second year	49	30.6%
Third year	47	29.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
year	160	50.0%
first	64	20.0%
second	49	15.3%
third	47	14.7%

Most occurring characters

Value	Count	Frequency (%)
r	271	16.4%
e	209	12.7%
	160	9.7%
y	160	9.7%
a	160	9.7%
i	111	6.7%
d	96	5.8%
F	64	3.9%
s	64	3.9%
t	64	3.9%
Other values (6)	290	17.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1329	80.6%
Space Separator	160	9.7%
Uppercase Letter	160	9.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	271	20.4%
e	209	15.7%
y	160	12.0%
a	160	12.0%
i	111	8.4%
d	96	7.2%
s	64	4.8%
t	64	4.8%
c	49	3.7%
o	49	3.7%
Other values (2)	96	7.2%

Uppercase Letter

Value	Count	Frequency (%)
F	64	40.0%
S	49	30.6%
T	47	29.4%

Space Separator

Value	Count	Frequency (%)
	160	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1489	90.3%
Common	160	9.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	271	18.2%
e	209	14.0%
y	160	10.7%
a	160	10.7%
i	111	7.5%
d	96	6.4%
F	64	4.3%
s	64	4.3%
t	64	4.3%
S	49	3.3%
Other values (5)	241	16.2%

Common

Value	Count	Frequency (%)
	160	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1649	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	271	16.4%
e	209	12.7%
	160	9.7%
y	160	9.7%
a	160	9.7%
i	111	6.7%
d	96	5.8%
F	64	3.9%
s	64	3.9%
t	64	3.9%
Other values (6)	290	17.6%

Enter Marks(percentage) For 10th Grade:
Real number (ℝ)

Distinct	94
Distinct (%)	58.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	82.837813

Minimum	49
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	49
5-th percentile	61.9
Q1	78.55
median	85.9
Q3	89.4
95-th percentile	94.543
Maximum	98
Range	49
Interquartile range (IQR)	10.85

Descriptive statistics

Standard deviation	9.730919
Coefficient of variation (CV)	0.11746953
Kurtosis	1.211239
Mean	82.837813
Median Absolute Deviation (MAD)	5.2
Skewness	-1.1858192
Sum	13254.05
Variance	94.690784
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
88	7	4.4%
80	5	3.1%
89	5	3.1%
90.6	5	3.1%
85	5	3.1%
80.2	4	2.5%
87	4	2.5%
89.2	3	1.9%
92	3	1.9%
86.4	3	1.9%
Other values (84)	116	72.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
49	1	0.6%
52	1	0.6%
56	1	0.6%
57	2	1.2%
59.78	1	0.6%
60	2	1.2%
62	1	0.6%
63.8	1	0.6%
64.6	1	0.6%
65	2	1.2%

Value	Count	Frequency (%)
98	1	0.6%
96.6	1	0.6%
95.5	1	0.6%
95.2	2	1.2%
95	2	1.2%
94.6	1	0.6%
94.54	1	0.6%
94	2	1.2%
93.8	2	1.2%
93.4	1	0.6%

Enter Marks (percentage) For Previous Semester:
Real number (ℝ)

Distinct	103
Distinct (%)	64.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	77.319875

Minimum	19
Maximum	92.84
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	19
5-th percentile	60
Q1	72.9325
median	79.07
Q3	83.85
95-th percentile	89.7365
Maximum	92.84
Range	73.84
Interquartile range (IQR)	10.9175

Descriptive statistics

Standard deviation	9.845498
Coefficient of variation (CV)	0.12733463
Kurtosis	6.9502292
Mean	77.319875
Median Absolute Deviation (MAD)	5.115
Skewness	-1.7571718
Sum	12371.18
Variance	96.93383
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	8	5.0%
75	6	3.8%
86	5	3.1%
78	5	3.1%
82	5	3.1%
60	4	2.5%
79	4	2.5%
74	3	1.9%
70	3	1.9%
73	3	1.9%
Other values (93)	114	71.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
19	1	0.6%
52	1	0.6%
53	1	0.6%
54.87	1	0.6%
56.9	1	0.6%
57	1	0.6%
60	4	2.5%
61.2	1	0.6%
61.57	1	0.6%
61.6	1	0.6%

Value	Count	Frequency (%)
92.84	1	0.6%
91.89	3	1.9%
91.78	1	0.6%
90	2	1.2%
89.86	1	0.6%
89.73	1	0.6%
89.44	1	0.6%
89	3	1.9%
88.89	1	0.6%
88.87	1	0.6%

Add a Screen Shot of your Screen time:
Categorical

HIGH CARDINALITY UNIFORM UNIQUE

Distinct	160
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

https://drive.google.com/open?id=1rqW8MeJ6sufzPWXXudkNGkfL3EY94Qpk	1
https://drive.google.com/open?id=1Gj_0fIUla_PahgiXiufgHE_aIpwTyCSR	1
https://drive.google.com/open?id=11DKId-p59doS4sFhNERCzvi-6Jmk31Xr	1
https://drive.google.com/open?id=1xZY53lHXQ0Bb1Foq6ajFKl_RnvRc2o7r	1
https://drive.google.com/open?id=1UWxGdtNrgZlcbL9QrMtlNaPa4q5u4GE_	1
Other values (155)	155

Length

Max length	66
Median length	66
Mean length	66
Min length	66

Characters and Unicode

Total characters	10560
Distinct characters	69
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	160 ?
Unique (%)	100.0%

Sample

1st row	https://drive.google.com/open?id=1rqW8MeJ6sufzPWXXudkNGkfL3EY94Qpk
2nd row	https://drive.google.com/open?id=1Gj_0fIUla_PahgiXiufgHE_aIpwTyCSR
3rd row	https://drive.google.com/open?id=1HWisWbixa_bZr0RjBEIxks7_26yIKZbK
4th row	https://drive.google.com/open?id=1zn3JdjGfGBBarwz-eywYx_ooj5FQDrZp
5th row	https://drive.google.com/open?id=1f2imoo4xSAa0JpCzqttgvR_UnefZo0rS

Common Values

Value	Count	Frequency (%)
https://drive.google.com/open?id=1rqW8MeJ6sufzPWXXudkNGkfL3EY94Qpk	1	0.6%
https://drive.google.com/open?id=1Gj_0fIUla_PahgiXiufgHE_aIpwTyCSR	1	0.6%
https://drive.google.com/open?id=11DKId-p59doS4sFhNERCzvi-6Jmk31Xr	1	0.6%
https://drive.google.com/open?id=1xZY53lHXQ0Bb1Foq6ajFKl_RnvRc2o7r	1	0.6%
https://drive.google.com/open?id=1UWxGdtNrgZlcbL9QrMtlNaPa4q5u4GE_	1	0.6%
https://drive.google.com/open?id=1yqMMCG--csZU7_nGrvBy3C9bFMz6hdm6	1	0.6%
https://drive.google.com/open?id=1KrAKwmueZsMr3_je-dslzKj0S4D6CS-_	1	0.6%
https://drive.google.com/open?id=1ogjwstRs1XI9NOon0k-ScA2_VyLF_Nz4	1	0.6%
https://drive.google.com/open?id=1N9bFMFQjKZwsMmf_zsoxSVgScp9a1Fjz	1	0.6%
https://drive.google.com/open?id=1_ObIXMqHxldM7hzt8cF097c8ZET_3bWC	1	0.6%
Other values (150)	150	93.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://drive.google.com/open?id=1rqw8mej6sufzpwxxudkngkfl3ey94qpk	1	0.6%
https://drive.google.com/open?id=1gj_0fiula_pahgixiufghe_aipwtycsr	1	0.6%
https://drive.google.com/open?id=14qzrd5ecyiczixgvugqbomx4tf63zwmq	1	0.6%
https://drive.google.com/open?id=1hwiswbixa_bzr0rjbeixks7_26yikzbk	1	0.6%
https://drive.google.com/open?id=1zn3jdjgfgbbarwz-eywyx_ooj5fqdrzp	1	0.6%
https://drive.google.com/open?id=1f2imoo4xsaa0jpczqttgvr_unefzo0rs	1	0.6%
https://drive.google.com/open?id=1wiqnz1el3p57t_k2cxpvgljgca98ekak	1	0.6%
https://drive.google.com/open?id=12fn8zbg8-2yqk3rjmtoci24eypb03kpl	1	0.6%
https://drive.google.com/open?id=19argdz9hcoapbbddgwgl4bz9npumvcsk	1	0.6%
https://drive.google.com/open?id=1d3dztujg2gsvpaqbopa7cexuxk1zwnzf	1	0.6%
Other values (150)	150	93.8%

Most occurring characters

Value	Count	Frequency (%)
o	733	6.9%
e	558	5.3%
/	480	4.5%
i	406	3.8%
d	403	3.8%
g	398	3.8%
t	398	3.8%
p	395	3.7%
.	320	3.0%
r	248	2.3%
Other values (59)	6221	58.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6075	57.5%
Uppercase Letter	2062	19.5%
Other Punctuation	1120	10.6%
Decimal Number	994	9.4%
Math Symbol	160	1.5%
Connector Punctuation	79	0.7%
Dash Punctuation	70	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	733	12.1%
e	558	9.2%
i	406	6.7%
d	403	6.6%
g	398	6.6%
t	398	6.6%
p	395	6.5%
r	248	4.1%
s	243	4.0%
n	240	4.0%
Other values (16)	2053	33.8%

Uppercase Letter

Value	Count	Frequency (%)
B	93	4.5%
D	92	4.5%
Q	92	4.5%
F	90	4.4%
N	90	4.4%
Z	90	4.4%
H	89	4.3%
E	87	4.2%
C	86	4.2%
M	86	4.2%
Other values (16)	1167	56.6%

Decimal Number

Value	Count	Frequency (%)
1	237	23.8%
6	97	9.8%
3	96	9.7%
2	91	9.2%
9	91	9.2%
0	85	8.6%
7	83	8.4%
4	78	7.8%
8	69	6.9%
5	67	6.7%

Other Punctuation

Value	Count	Frequency (%)
/	480	42.9%
.	320	28.6%
?	160	14.3%
:	160	14.3%

Math Symbol

Value	Count	Frequency (%)
=	160	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	79	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	70	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8137	77.1%
Common	2423	22.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	733	9.0%
e	558	6.9%
i	406	5.0%
d	403	5.0%
g	398	4.9%
t	398	4.9%
p	395	4.9%
r	248	3.0%
s	243	3.0%
n	240	2.9%
Other values (42)	4115	50.6%

Common

Value	Count	Frequency (%)
/	480	19.8%
.	320	13.2%
1	237	9.8%
?	160	6.6%
=	160	6.6%
:	160	6.6%
6	97	4.0%
3	96	4.0%
2	91	3.8%
9	91	3.8%
Other values (7)	531	21.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10560	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	733	6.9%
e	558	5.3%
/	480	4.5%
i	406	3.8%
d	403	3.8%
g	398	3.8%
t	398	3.8%
p	395	3.7%
.	320	3.0%
r	248	2.3%
Other values (59)	6221	58.9%

How often do you use social media ? (In hours)
Real number (ℝ)

Distinct	22
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.75425

Minimum	0
Maximum	24
Zeros	5
Zeros (%)	3.1%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0.975
Q1	2
median	3
Q3	4
95-th percentile	10
Maximum	24
Range	24
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.4911456
Coefficient of variation (CV)	0.92991825
Kurtosis	10.283666
Mean	3.75425
Median Absolute Deviation (MAD)	1
Skewness	2.8285664
Sum	600.68
Variance	12.188098
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
2	44	27.5%
3	32	20.0%
4	20	12.5%
1	15	9.4%
5	10	6.2%
6	8	5.0%
0	5	3.1%
7	4	2.5%
10	4	2.5%
15	3	1.9%
Other values (12)	15	9.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	3.1%
0.5	3	1.9%
1	15	9.4%
1.2	1	0.6%
1.5	1	0.6%
2	44	27.5%
2.5	1	0.6%
3	32	20.0%
3.5	1	0.6%
4	20	12.5%

Value	Count	Frequency (%)
24	1	0.6%
18	1	0.6%
17	1	0.6%
15	3	1.9%
12	1	0.6%
10	4	2.5%
9	1	0.6%
8	2	1.2%
7	4	2.5%
6	8	5.0%

According to you, what need does social media fulfill?
Categorical

Distinct	12
Distinct (%)	7.5%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

Educational, Entertainment, Research/Reading, Gaming	35
Educational, Entertainment, Research/Reading	27
Entertainment	26
Educational, Entertainment	25
Educational	17
Other values (7)	30

Length

Max length	52
Median length	39
Mean length	31.1125
Min length	6

Characters and Unicode

Total characters	4978
Distinct characters	21
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.6%

Sample

1st row	Educational, Entertainment, Research/Reading, Gaming
2nd row	Educational, Entertainment, Research/Reading, Gaming
3rd row	Educational, Entertainment, Research/Reading
4th row	Entertainment
5th row	Educational, Entertainment

Common Values

Value	Count	Frequency (%)
Educational, Entertainment, Research/Reading, Gaming	35	21.9%
Educational, Entertainment, Research/Reading	27	16.9%
Entertainment	26	16.2%
Educational, Entertainment	25	15.6%
Educational	17	10.6%
Educational, Entertainment, Gaming	10	6.2%
Entertainment, Research/Reading	6	3.8%
Educational, Research/Reading	4	2.5%
Gaming	4	2.5%
Research/Reading	3	1.9%
Other values (2)	3	1.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
entertainment	132	34.9%
educational	118	31.2%
research/reading	76	20.1%
gaming	52	13.8%

Most occurring characters

Value	Count	Frequency (%)
n	642	12.9%
a	572	11.5%
t	514	10.3%
e	492	9.9%
i	378	7.6%
E	250	5.0%
	218	4.4%
,	218	4.4%
r	208	4.2%
d	194	3.9%
Other values (11)	1292	26.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4012	80.6%
Uppercase Letter	454	9.1%
Other Punctuation	294	5.9%
Space Separator	218	4.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	642	16.0%
a	572	14.3%
t	514	12.8%
e	492	12.3%
i	378	9.4%
r	208	5.2%
d	194	4.8%
c	194	4.8%
m	184	4.6%
g	128	3.2%
Other values (5)	506	12.6%

Uppercase Letter

Value	Count	Frequency (%)
E	250	55.1%
R	152	33.5%
G	52	11.5%

Other Punctuation

Value	Count	Frequency (%)
,	218	74.1%
/	76	25.9%

Space Separator

Value	Count	Frequency (%)
	218	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4466	89.7%
Common	512	10.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	642	14.4%
a	572	12.8%
t	514	11.5%
e	492	11.0%
i	378	8.5%
E	250	5.6%
r	208	4.7%
d	194	4.3%
c	194	4.3%
m	184	4.1%
Other values (8)	838	18.8%

Common

Value	Count	Frequency (%)
	218	42.6%
,	218	42.6%
/	76	14.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4978	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	642	12.9%
a	572	11.5%
t	514	10.3%
e	492	9.9%
i	378	7.6%
E	250	5.0%
	218	4.4%
,	218	4.4%
r	208	4.2%
d	194	3.9%
Other values (11)	1292	26.0%

How many social media platforms are you on?
Categorical

HIGH CARDINALITY HIGH CORRELATION

Distinct	64
Distinct (%)	40.0%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

WhatsApp, Instagram, YouTube, Snapchat	28
WhatsApp, YouTube	14
WhatsApp, Instagram, YouTube	13
WhatsApp, Instagram, YouTube, Snapchat, Pinterest	9
WhatsApp, YouTube, Snapchat	8
Other values (59)	88

Length

Max length	109
Median length	87
Mean length	43.8375
Min length	7

Characters and Unicode

Total characters	7014
Distinct characters	34
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	26.9%

Sample

1st row	WhatsApp, Instagram, YouTube, Snapchat
2nd row	WhatsApp, Instagram, Facebook, YouTube, Snapchat, Discord, Twitter
3rd row	WhatsApp, Instagram, Facebook, YouTube, Snapchat, Discord, Twitter,
4th row	WhatsApp, Instagram, YouTube, Snapchat, Discord, Pinterest
5th row	WhatsApp, YouTube, Snapchat, Pinterest, Twitter

Common Values

Value	Count	Frequency (%)
WhatsApp, Instagram, YouTube, Snapchat	28	17.5%
WhatsApp, YouTube	14	8.8%
WhatsApp, Instagram, YouTube	13	8.1%
WhatsApp, Instagram, YouTube, Snapchat, Pinterest	9	5.6%
WhatsApp, YouTube, Snapchat	8	5.0%
WhatsApp, Instagram, Facebook, YouTube, Snapchat	5	3.1%
WhatsApp, YouTube, Telegram	4	2.5%
WhatsApp, Instagram, YouTube, Snapchat, Telegram	4	2.5%
WhatsApp, Instagram, YouTube, Snapchat, Twitter	4	2.5%
WhatsApp, Instagram, YouTube, Snapchat, Pinterest, Twitter, Telegram	4	2.5%
Other values (54)	67	41.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
whatsapp	157	21.2%
youtube	150	20.3%
instagram	123	16.6%
snapchat	112	15.1%
telegram	49	6.6%
pinterest	38	5.1%
twitter	38	5.1%
facebook	29	3.9%
discord	28	3.8%
reddit	11	1.5%
Other values (5)	5	0.7%

Most occurring characters

Value	Count	Frequency (%)
a	706	10.1%
	592	8.4%
,	591	8.4%
t	558	8.0%
p	426	6.1%
e	403	5.7%
s	347	4.9%
u	300	4.3%
r	277	3.9%
n	273	3.9%
Other values (24)	2541	36.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4784	68.2%
Uppercase Letter	1046	14.9%
Space Separator	592	8.4%
Other Punctuation	592	8.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	706	14.8%
t	558	11.7%
p	426	8.9%
e	403	8.4%
s	347	7.3%
u	300	6.3%
r	277	5.8%
n	273	5.7%
h	271	5.7%
o	240	5.0%
Other values (10)	983	20.5%

Uppercase Letter

Value	Count	Frequency (%)
T	239	22.8%
W	157	15.0%
A	157	15.0%
Y	150	14.3%
I	123	11.8%
S	112	10.7%
P	39	3.7%
F	29	2.8%
D	28	2.7%
R	11	1.1%

Other Punctuation

Value	Count	Frequency (%)
,	591	99.8%
.	1	0.2%

Space Separator

Value	Count	Frequency (%)
	592	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5830	83.1%
Common	1184	16.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	706	12.1%
t	558	9.6%
p	426	7.3%
e	403	6.9%
s	347	6.0%
u	300	5.1%
r	277	4.8%
n	273	4.7%
h	271	4.6%
o	240	4.1%
Other values (21)	2029	34.8%

Common

Value	Count	Frequency (%)
	592	50.0%
,	591	49.9%
.	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7014	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	706	10.1%
	592	8.4%
,	591	8.4%
t	558	8.0%
p	426	6.1%
e	403	5.7%
s	347	4.9%
u	300	4.3%
r	277	3.9%
n	273	3.9%
Other values (24)	2541	36.2%

Time spent on WhatsApp? (In hours)
Real number (ℝ)

Distinct	18
Distinct (%)	11.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.601875

Minimum	0
Maximum	10
Zeros	3
Zeros (%)	1.9%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0.295
Q1	1
median	1
Q3	2
95-th percentile	5
Maximum	10
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.4399608
Coefficient of variation (CV)	0.89892206
Kurtosis	9.5066622
Mean	1.601875
Median Absolute Deviation (MAD)	0
Skewness	2.738882
Sum	256.3
Variance	2.073487
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
1	86	53.8%
2	31	19.4%
3	9	5.6%
0.5	8	5.0%
6	5	3.1%
5	3	1.9%
0	3	1.9%
0.1	2	1.2%
0.05	2	1.2%
0.3	2	1.2%
Other values (8)	9	5.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	1.9%
0.05	2	1.2%
0.1	2	1.2%
0.2	1	0.6%
0.3	2	1.2%
0.5	8	5.0%
0.9	1	0.6%
1	86	53.8%
1.3	1	0.6%
1.5	1	0.6%

Value	Count	Frequency (%)
10	1	0.6%
7	1	0.6%
6	5	3.1%
5	3	1.9%
4	2	1.2%
3	9	5.6%
2.5	1	0.6%
2	31	19.4%
1.5	1	0.6%
1.3	1	0.6%

Time spend on Instagram? (In hours)
Real number (ℝ)

Distinct	21
Distinct (%)	13.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.67925

Minimum	0
Maximum	21
Zeros	37
Zeros (%)	23.1%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.275
median	1
Q3	2
95-th percentile	5.05
Maximum	21
Range	21
Interquartile range (IQR)	1.725

Descriptive statistics

Standard deviation	2.3989651
Coefficient of variation (CV)	1.4285932
Kurtosis	29.850561
Mean	1.67925
Median Absolute Deviation (MAD)	1
Skewness	4.5245704
Sum	268.68
Variance	5.7550334
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
1	50	31.2%
0	37	23.1%
2	26	16.2%
3	12	7.5%
4	6	3.8%
0.5	6	3.8%
5	4	2.5%
6	3	1.9%
7	3	1.9%
1.5	2	1.2%
Other values (11)	11	6.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	37	23.1%
0.07	1	0.6%
0.1	1	0.6%
0.2	1	0.6%
0.3	1	0.6%
0.4	1	0.6%
0.45	1	0.6%
0.5	6	3.8%
1	50	31.2%
1.15	1	0.6%

Value	Count	Frequency (%)
21	1	0.6%
14	1	0.6%
7	3	1.9%
6	3	1.9%
5	4	2.5%
4	6	3.8%
3	12	7.5%
2.43	1	0.6%
2	26	16.2%
1.58	1	0.6%

Time spend on Facebook? (In hours)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	7
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.281875

Minimum	0
Maximum	21
Zeros	147
Zeros (%)	91.9%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	21
Range	21
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.8158932
Coefficient of variation (CV)	6.4421932
Kurtosis	109.82226
Mean	0.281875
Median Absolute Deviation (MAD)	0
Skewness	10.00041
Sum	45.1
Variance	3.2974682
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	147	91.9%
1	6	3.8%
3	2	1.2%
2	2	1.2%
21	1	0.6%
8	1	0.6%
0.1	1	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	147	91.9%
0.1	1	0.6%
1	6	3.8%
2	2	1.2%
3	2	1.2%
8	1	0.6%
21	1	0.6%

Value	Count	Frequency (%)
21	1	0.6%
8	1	0.6%
3	2	1.2%
2	2	1.2%
1	6	3.8%
0.1	1	0.6%
0	147	91.9%

Time spend on YouTube? (In hours)
Real number (ℝ)

Distinct	15
Distinct (%)	9.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.743125

Minimum	0
Maximum	16
Zeros	12
Zeros (%)	7.5%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	2
95-th percentile	5
Maximum	16
Range	16
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.7798177
Coefficient of variation (CV)	1.02105
Kurtosis	26.169373
Mean	1.743125
Median Absolute Deviation (MAD)	0.8
Skewness	3.9763807
Sum	278.9
Variance	3.1677512
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
1	64	40.0%
2	34	21.2%
3	15	9.4%
0	12	7.5%
0.5	11	6.9%
4	7	4.4%
5	5	3.1%
0.3	3	1.9%
1.5	2	1.2%
0.1	2	1.2%
Other values (5)	5	3.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	12	7.5%
0.1	2	1.2%
0.3	3	1.9%
0.5	11	6.9%
1	64	40.0%
1.5	2	1.2%
2	34	21.2%
2.3	1	0.6%
3	15	9.4%
4	7	4.4%

Value	Count	Frequency (%)
16	1	0.6%
8	1	0.6%
7	1	0.6%
6	1	0.6%
5	5	3.1%
4	7	4.4%
3	15	9.4%
2.3	1	0.6%
2	34	21.2%
1.5	2	1.2%

Time spend on Snapchat? (In hours)
Real number (ℝ)

Distinct	18
Distinct (%)	11.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.954875

Minimum	0
Maximum	16
Zeros	62
Zeros (%)	38.8%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	3
Maximum	16
Range	16
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.934675
Coefficient of variation (CV)	2.0261029
Kurtosis	40.286183
Mean	0.954875
Median Absolute Deviation (MAD)	1
Skewness	5.7993424
Sum	152.78
Variance	3.7429673
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0	62	38.8%
1	58	36.2%
2	9	5.6%
3	7	4.4%
0.5	7	4.4%
0.3	2	1.2%
4	2	1.2%
0.1	2	1.2%
1.5	2	1.2%
0.15	1	0.6%
Other values (8)	8	5.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	62	38.8%
0.01	1	0.6%
0.1	2	1.2%
0.15	1	0.6%
0.19	1	0.6%
0.2	1	0.6%
0.3	2	1.2%
0.33	1	0.6%
0.5	7	4.4%
0.6	1	0.6%

Value	Count	Frequency (%)
16	1	0.6%
15	1	0.6%
8	1	0.6%
4	2	1.2%
3	7	4.4%
2	9	5.6%
1.5	2	1.2%
1	58	36.2%
0.6	1	0.6%
0.5	7	4.4%

Time spend on Reddit? (In hours)
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

0	155
1	3
2	1
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	160
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.2%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	155	96.9%
1	3	1.9%
2	1	0.6%
4	1	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	155	96.9%
1	3	1.9%
2	1	0.6%
4	1	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	155	96.9%
1	3	1.9%
2	1	0.6%
4	1	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	155	96.9%
1	3	1.9%
2	1	0.6%
4	1	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	160	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	155	96.9%
1	3	1.9%
2	1	0.6%
4	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	160	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	155	96.9%
1	3	1.9%
2	1	0.6%
4	1	0.6%

Time spend on Discord? (In hours)
Categorical

HIGH CORRELATION IMBALANCE

Distinct	11
Distinct (%)	6.9%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

0	139
1	11
3	2
0.5	1
2	1
Other values (6)	6

Length

Max length	41
Median length	1
Mean length	1.28125
Min length	1

Characters and Unicode

Total characters	205
Distinct characters	28
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	5.0%

Sample

1st row	0
2nd row	0.5
3rd row	2
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	139	86.9%
1	11	6.9%
3	2	1.2%
0.5	1	0.6%
2	1	0.6%
P	1	0.6%
9	1	0.6%
00	1	0.6%
4	1	0.6%
I don't use this Social media Application	1	0.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0	139	83.7%
1	11	6.6%
3	2	1.2%
don't	1	0.6%
application	1	0.6%
media	1	0.6%
social	1	0.6%
this	1	0.6%
use	1	0.6%
4	1	0.6%
Other values (7)	7	4.2%

Most occurring characters

Value	Count	Frequency (%)
0	143	69.8%
1	11	5.4%
	6	2.9%
i	5	2.4%
3	3	1.5%
a	3	1.5%
t	3	1.5%
o	3	1.5%
n	2	1.0%
l	2	1.0%
Other values (18)	24	11.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	161	78.5%
Lowercase Letter	31	15.1%
Space Separator	6	2.9%
Uppercase Letter	4	2.0%
Other Punctuation	3	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	5	16.1%
a	3	9.7%
t	3	9.7%
o	3	9.7%
n	2	6.5%
l	2	6.5%
c	2	6.5%
e	2	6.5%
s	2	6.5%
p	2	6.5%
Other values (4)	5	16.1%

Decimal Number

Value	Count	Frequency (%)
0	143	88.8%
1	11	6.8%
3	3	1.9%
4	1	0.6%
9	1	0.6%
2	1	0.6%
5	1	0.6%

Uppercase Letter

Value	Count	Frequency (%)
I	1	25.0%
P	1	25.0%
S	1	25.0%
A	1	25.0%

Other Punctuation

Value	Count	Frequency (%)
.	2	66.7%
'	1	33.3%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	170	82.9%
Latin	35	17.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	5	14.3%
a	3	8.6%
t	3	8.6%
o	3	8.6%
n	2	5.7%
l	2	5.7%
c	2	5.7%
e	2	5.7%
s	2	5.7%
p	2	5.7%
Other values (8)	9	25.7%

Common

Value	Count	Frequency (%)
0	143	84.1%
1	11	6.5%
	6	3.5%
3	3	1.8%
.	2	1.2%
4	1	0.6%
9	1	0.6%
2	1	0.6%
5	1	0.6%
'	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	205	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	143	69.8%
1	11	5.4%
	6	2.9%
i	5	2.4%
3	3	1.5%
a	3	1.5%
t	3	1.5%
o	3	1.5%
n	2	1.0%
l	2	1.0%
Other values (18)	24	11.7%

Time spend on Pinterest? (In hours)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	6
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.169375

Minimum	0
Maximum	4
Zeros	134
Zeros (%)	83.8%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	4
Range	4
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.47437438
Coefficient of variation (CV)	2.8007344
Kurtosis	27.405281
Mean	0.169375
Median Absolute Deviation (MAD)	0
Skewness	4.3667572
Sum	27.1
Variance	0.22503105
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	134	83.8%
1	20	12.5%
0.2	3	1.9%
4	1	0.6%
2	1	0.6%
0.5	1	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	134	83.8%
0.2	3	1.9%
0.5	1	0.6%
1	20	12.5%
2	1	0.6%
4	1	0.6%

Value	Count	Frequency (%)
4	1	0.6%
2	1	0.6%
1	20	12.5%
0.5	1	0.6%
0.2	3	1.9%
0	134	83.8%

Time spend on Twitter? (In hours)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	10
Distinct (%)	6.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3485625

Minimum	0
Maximum	24
Zeros	136
Zeros (%)	85.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	24
Range	24
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.0789732
Coefficient of variation (CV)	5.96442
Kurtosis	109.40255
Mean	0.3485625
Median Absolute Deviation (MAD)	0
Skewness	10.032882
Sum	55.77
Variance	4.3221294
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	136	85.0%
1	13	8.1%
0.15	2	1.2%
0.5	2	1.2%
2	2	1.2%
0.27	1	0.6%
24	1	0.6%
10	1	0.6%
3	1	0.6%
0.2	1	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	136	85.0%
0.15	2	1.2%
0.2	1	0.6%
0.27	1	0.6%
0.5	2	1.2%
1	13	8.1%
2	2	1.2%
3	1	0.6%
10	1	0.6%
24	1	0.6%

Value	Count	Frequency (%)
24	1	0.6%
10	1	0.6%
3	1	0.6%
2	2	1.2%
1	13	8.1%
0.5	2	1.2%
0.27	1	0.6%
0.2	1	0.6%
0.15	2	1.2%
0	136	85.0%

Time spend on Telegram? (In hours)
Real number (ℝ)

Distinct	13
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.49125

Minimum	0
Maximum	24
Zeros	131
Zeros (%)	81.9%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	24
Range	24
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.4477017
Coefficient of variation (CV)	4.9825989
Kurtosis	63.809161
Mean	0.49125
Median Absolute Deviation (MAD)	0
Skewness	7.6522795
Sum	78.6
Variance	5.9912437
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	131	81.9%
1	16	10.0%
0.3	2	1.2%
0.5	2	1.2%
24	1	0.6%
15	1	0.6%
0.7	1	0.6%
12	1	0.6%
2	1	0.6%
4	1	0.6%
Other values (3)	3	1.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	131	81.9%
0.1	1	0.6%
0.2	1	0.6%
0.3	2	1.2%
0.5	2	1.2%
0.7	1	0.6%
1	16	10.0%
2	1	0.6%
3	1	0.6%
4	1	0.6%

Value	Count	Frequency (%)
24	1	0.6%
15	1	0.6%
12	1	0.6%
4	1	0.6%
3	1	0.6%
2	1	0.6%
1	16	10.0%
0.7	1	0.6%
0.5	2	1.2%
0.3	2	1.2%

Overall time spent on other application? (In hours)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	21
Distinct (%)	13.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.295625

Minimum	0
Maximum	24
Zeros	34
Zeros (%)	21.2%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.5
median	1
Q3	3
95-th percentile	8.1
Maximum	24
Range	24
Interquartile range (IQR)	2.5

Descriptive statistics

Standard deviation	3.3776242
Coefficient of variation (CV)	1.471331
Kurtosis	19.192472
Mean	2.295625
Median Absolute Deviation (MAD)	1
Skewness	3.799733
Sum	367.3
Variance	11.408346
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
1	39	24.4%
0	34	21.2%
2	27	16.9%
3	12	7.5%
4	11	6.9%
5	8	5.0%
0.5	7	4.4%
0.3	4	2.5%
10	3	1.9%
6	2	1.2%
Other values (11)	13	8.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	34	21.2%
0.2	1	0.6%
0.3	4	2.5%
0.5	7	4.4%
1	39	24.4%
1.4	1	0.6%
1.5	2	1.2%
2	27	16.9%
2.5	1	0.6%
3	12	7.5%

Value	Count	Frequency (%)
24	1	0.6%
23	1	0.6%
12	2	1.2%
11	1	0.6%
10	3	1.9%
8	1	0.6%
7	1	0.6%
6	2	1.2%
5	8	5.0%
4	11	6.9%

What is the maximum time that you have spent away from your phone? (In hours)
Real number (ℝ)

Distinct	18
Distinct (%)	11.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.844375

Minimum	0
Maximum	16
Zeros	3
Zeros (%)	1.9%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	4
median	8
Q3	14
95-th percentile	16
Maximum	16
Range	16
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.0265552
Coefficient of variation (CV)	0.56833357
Kurtosis	-1.3110954
Mean	8.844375
Median Absolute Deviation (MAD)	4
Skewness	0.049206675
Sum	1415.1
Variance	25.266257
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
16	23	14.4%
10	16	10.0%
15	15	9.4%
4	14	8.8%
2	13	8.1%
12	12	7.5%
5	11	6.9%
8	10	6.2%
7	10	6.2%
6	9	5.6%
Other values (8)	27	16.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	1.9%
0.1	1	0.6%
1	3	1.9%
2	13	8.1%
3	7	4.4%
4	14	8.8%
5	11	6.9%
6	9	5.6%
7	10	6.2%
8	10	6.2%

Value	Count	Frequency (%)
16	23	14.4%
15	15	9.4%
14	6	3.8%
13	1	0.6%
12	12	7.5%
11	1	0.6%
10	16	10.0%
9	5	3.1%
8	10	6.2%
7	10	6.2%

Do you consider yourself to be addicted to social media?
Categorical

Distinct	3
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

No	79
Maybe	62
Yes	19

Length

Max length	5
Median length	3
Mean length	3.28125
Min length	2

Characters and Unicode

Total characters	525
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Maybe
2nd row	Maybe
3rd row	Yes
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	79	49.4%
Maybe	62	38.8%
Yes	19	11.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	79	49.4%
maybe	62	38.8%
yes	19	11.9%

Most occurring characters

Value	Count	Frequency (%)
e	81	15.4%
N	79	15.0%
o	79	15.0%
M	62	11.8%
a	62	11.8%
y	62	11.8%
b	62	11.8%
Y	19	3.6%
s	19	3.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	365	69.5%
Uppercase Letter	160	30.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	81	22.2%
o	79	21.6%
a	62	17.0%
y	62	17.0%
b	62	17.0%
s	19	5.2%

Uppercase Letter

Value	Count	Frequency (%)
N	79	49.4%
M	62	38.8%
Y	19	11.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	525	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	81	15.4%
N	79	15.0%
o	79	15.0%
M	62	11.8%
a	62	11.8%
y	62	11.8%
b	62	11.8%
Y	19	3.6%
s	19	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	525	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	81	15.4%
N	79	15.0%
o	79	15.0%
M	62	11.8%
a	62	11.8%
y	62	11.8%
b	62	11.8%
Y	19	3.6%
s	19	3.6%

Entertainment usage time while using phone(per day) (In hours)
Real number (ℝ)

Distinct	17
Distinct (%)	10.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.593125

Minimum	0
Maximum	15
Zeros	4
Zeros (%)	2.5%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0.975
Q1	1
median	2
Q3	3
95-th percentile	6.1
Maximum	15
Range	15
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.2283796
Coefficient of variation (CV)	0.85934138
Kurtosis	8.0294363
Mean	2.593125
Median Absolute Deviation (MAD)	1
Skewness	2.4384577
Sum	414.9
Variance	4.9656757
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
2	51	31.9%
1	43	26.9%
3	20	12.5%
4	13	8.1%
5	8	5.0%
6	5	3.1%
0	4	2.5%
8	3	1.9%
10	3	1.9%
1.3	2	1.2%
Other values (7)	8	5.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	2.5%
0.1	1	0.6%
0.2	1	0.6%
0.5	2	1.2%
1	43	26.9%
1.3	2	1.2%
1.5	1	0.6%
2	51	31.9%
2.5	1	0.6%
3	20	12.5%

Value	Count	Frequency (%)
15	1	0.6%
11	1	0.6%
10	3	1.9%
8	3	1.9%
6	5	3.1%
5	8	5.0%
4	13	8.1%
3	20	12.5%
2.5	1	0.6%
2	51	31.9%

Productivity and finance time while using phone (per day)(In hours)
Real number (ℝ)

Distinct	15
Distinct (%)	9.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.30125

Minimum	0
Maximum	15
Zeros	22
Zeros (%)	13.8%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	6.2
Maximum	15
Range	15
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.4612976
Coefficient of variation (CV)	1.0695481
Kurtosis	7.9112989
Mean	2.30125
Median Absolute Deviation (MAD)	1
Skewness	2.5011509
Sum	368.2
Variance	6.0579858
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
1	50	31.2%
2	28	17.5%
3	23	14.4%
0	22	13.8%
4	15	9.4%
5	6	3.8%
10	6	3.8%
0.5	3	1.9%
2.5	1	0.6%
0.2	1	0.6%
Other values (5)	5	3.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	22	13.8%
0.2	1	0.6%
0.5	3	1.9%
1	50	31.2%
1.5	1	0.6%
2	28	17.5%
2.5	1	0.6%
3	23	14.4%
3.5	1	0.6%
4	15	9.4%

Value	Count	Frequency (%)
15	1	0.6%
13	1	0.6%
10	6	3.8%
6	1	0.6%
5	6	3.8%
4	15	9.4%
3.5	1	0.6%
3	23	14.4%
2.5	1	0.6%
2	28	17.5%

Email Address
Categorical

HIGH CARDINALITY UNIFORM UNIQUE

Distinct	160
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

areebpatel079@gmail.com	1
safipunjabi007@gmail.com	1
sarcarzam@gmail.com	1
ayanshaikh3096@gmail.com	1
as9215600@gmail.com	1
Other values (155)	155

Length

Max length	31
Median length	28
Mean length	23.775
Min length	18

Characters and Unicode

Total characters	3804
Distinct characters	38
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	160 ?
Unique (%)	100.0%

Sample

1st row	areebpatel079@gmail.com
2nd row	safipunjabi007@gmail.com
3rd row	shaikhyaseen123838@gmail.com
4th row	ridashaikh12786@gmail.com
5th row	patelalfiya2004@gmail.com

Common Values

Value	Count	Frequency (%)
areebpatel079@gmail.com	1	0.6%
safipunjabi007@gmail.com	1	0.6%
sarcarzam@gmail.com	1	0.6%
ayanshaikh3096@gmail.com	1	0.6%
as9215600@gmail.com	1	0.6%
kaziadnan456@gmail.com	1	0.6%
mzeeshan0109@gmail.com	1	0.6%
as3932004@gmail.com	1	0.6%
ansarimidhat45@gmail.com	1	0.6%
iamsaif2005@gmail.com	1	0.6%
Other values (150)	150	93.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
areebpatel079@gmail.com	1	0.6%
safipunjabi007@gmail.com	1	0.6%
zufisha08@gmail.com	1	0.6%
shaikhyaseen123838@gmail.com	1	0.6%
ridashaikh12786@gmail.com	1	0.6%
patelalfiya2004@gmail.com	1	0.6%
jmoizahmed@gmail.com	1	0.6%
shaikhmohtashim11@gmail.com	1	0.6%
muzzammilmohd987@gmail.com	1	0.6%
mahinoorshaikh777@gmail.com	1	0.6%
Other values (150)	150	93.8%

Most occurring characters

Value	Count	Frequency (%)
a	551	14.5%
m	394	10.4%
i	315	8.3%
l	219	5.8%
o	194	5.1%
.	184	4.8%
c	171	4.5%
g	171	4.5%
@	160	4.2%
h	160	4.2%
Other values (28)	1285	33.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3027	79.6%
Decimal Number	431	11.3%
Other Punctuation	344	9.0%
Uppercase Letter	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	551	18.2%
m	394	13.0%
i	315	10.4%
l	219	7.2%
o	194	6.4%
c	171	5.6%
g	171	5.6%
h	160	5.3%
s	147	4.9%
r	102	3.4%
Other values (15)	603	19.9%

Decimal Number

Value	Count	Frequency (%)
0	90	20.9%
1	57	13.2%
2	53	12.3%
5	43	10.0%
7	38	8.8%
4	35	8.1%
6	31	7.2%
9	29	6.7%
8	29	6.7%
3	26	6.0%

Other Punctuation

Value	Count	Frequency (%)
.	184	53.5%
@	160	46.5%

Uppercase Letter

Value	Count	Frequency (%)
Z	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3029	79.6%
Common	775	20.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	551	18.2%
m	394	13.0%
i	315	10.4%
l	219	7.2%
o	194	6.4%
c	171	5.6%
g	171	5.6%
h	160	5.3%
s	147	4.9%
r	102	3.4%
Other values (16)	605	20.0%

Common

Value	Count	Frequency (%)
.	184	23.7%
@	160	20.6%
0	90	11.6%
1	57	7.4%
2	53	6.8%
5	43	5.5%
7	38	4.9%
4	35	4.5%
6	31	4.0%
9	29	3.7%
Other values (2)	55	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3804	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	551	14.5%
m	394	10.4%
i	315	8.3%
l	219	5.8%
o	194	5.1%
.	184	4.8%
c	171	4.5%
g	171	4.5%
@	160	4.2%
h	160	4.2%
Other values (28)	1285	33.8%

Auto

Heatmap
Table

	Roll Number:	Enter Marks(percentage) For 10th Grade:	Enter Marks (percentage) For Previous Semester:	How often do you use social media ? (In hours)	Time spent on WhatsApp? (In hours)	Time spend on Instagram? (In hours)	Time spend on Facebook? (In hours)	Time spend on YouTube? (In hours)	Time spend on Snapchat? (In hours)	Time spend on Pinterest? (In hours)	Time spend on Twitter? (In hours)	Time spend on Telegram? (In hours)	Overall time spent on other application? (In hours)	What is the maximum time that you have spent away from your phone? (In hours)	Entertainment usage time while using phone(per day) (In hours)	Productivity and finance time while using phone (per day)(In hours)	Department:	Choose Current year:	According to you, what need does social media fulfill?	How many social media platforms are you on?	Time spend on Reddit? (In hours)	Time spend on Discord? (In hours)	Do you consider yourself to be addicted to social media?
Roll Number:	1.000	-0.336	-0.305	0.005	-0.213	-0.035	-0.196	-0.082	-0.045	-0.265	-0.195	-0.057	-0.080	0.089	-0.013	-0.100	0.394	0.953	0.129	0.000	0.144	0.165	0.000
Enter Marks(percentage) For 10th Grade:	-0.336	1.000	0.446	0.177	0.257	0.045	-0.011	-0.002	-0.053	0.042	0.051	-0.083	0.015	-0.217	0.016	0.160	0.513	0.405	0.000	0.000	0.000	0.000	0.000
Enter Marks (percentage) For Previous Semester:	-0.305	0.446	1.000	0.190	0.129	-0.007	0.057	-0.098	-0.010	0.106	0.094	-0.046	0.006	-0.090	0.090	0.202	0.184	0.139	0.000	0.000	0.000	0.000	0.000
How often do you use social media ? (In hours)	0.005	0.177	0.190	1.000	0.154	0.441	0.057	0.224	0.260	0.228	0.047	0.002	0.074	-0.170	0.486	0.180	0.062	0.021	0.126	0.042	0.000	0.298	0.247
Time spent on WhatsApp? (In hours)	-0.213	0.257	0.129	0.154	1.000	0.211	0.229	0.287	0.290	0.117	0.015	-0.020	0.108	-0.105	0.148	0.150	0.000	0.231	0.008	0.390	0.179	0.000	0.080
Time spend on Instagram? (In hours)	-0.035	0.045	-0.007	0.441	0.211	1.000	0.256	0.105	0.444	0.306	0.107	0.033	0.024	-0.158	0.481	0.230	0.189	0.154	0.000	0.387	0.036	0.223	0.159
Time spend on Facebook? (In hours)	-0.196	-0.011	0.057	0.057	0.229	0.256	1.000	0.180	0.248	0.187	0.335	0.369	0.213	-0.221	0.218	0.069	0.000	0.076	0.000	0.667	0.000	0.000	0.000
Time spend on YouTube? (In hours)	-0.082	-0.002	-0.098	0.224	0.287	0.105	0.180	1.000	0.182	0.017	0.143	0.110	0.208	0.005	0.234	0.239	0.000	0.162	0.000	0.366	0.382	0.249	0.175
Time spend on Snapchat? (In hours)	-0.045	-0.053	-0.010	0.260	0.290	0.444	0.248	0.182	1.000	0.242	0.199	0.065	0.124	0.012	0.299	0.144	0.124	0.046	0.000	0.244	0.404	0.144	0.068
Time spend on Pinterest? (In hours)	-0.265	0.042	0.106	0.228	0.117	0.306	0.187	0.017	0.242	1.000	0.339	0.238	0.092	-0.039	0.199	0.126	0.000	0.214	0.000	0.420	0.668	0.631	0.101
Time spend on Twitter? (In hours)	-0.195	0.051	0.094	0.047	0.015	0.107	0.335	0.143	0.199	0.339	1.000	0.432	0.210	-0.062	0.139	0.173	0.000	0.021	0.000	0.599	0.566	0.325	0.178
Time spend on Telegram? (In hours)	-0.057	-0.083	-0.046	0.002	-0.020	0.033	0.369	0.110	0.065	0.238	0.432	1.000	0.265	-0.041	0.062	0.083	0.135	0.080	0.000	0.433	0.379	0.177	0.000
Overall time spent on other application? (In hours)	-0.080	0.015	0.006	0.074	0.108	0.024	0.213	0.208	0.124	0.092	0.210	0.265	1.000	0.057	0.217	0.004	0.105	0.060	0.093	0.512	0.409	0.166	0.208
What is the maximum time that you have spent away from your phone? (In hours)	0.089	-0.217	-0.090	-0.170	-0.105	-0.158	-0.221	0.005	0.012	-0.039	-0.062	-0.041	0.057	1.000	-0.179	0.133	0.079	0.000	0.000	0.065	0.000	0.000	0.104
Entertainment usage time while using phone(per day) (In hours)	-0.013	0.016	0.090	0.486	0.148	0.481	0.218	0.234	0.299	0.199	0.139	0.062	0.217	-0.179	1.000	0.274	0.000	0.000	0.000	0.352	0.111	0.000	0.355
Productivity and finance time while using phone\n(per day)(In hours)	-0.100	0.160	0.202	0.180	0.150	0.230	0.069	0.239	0.144	0.126	0.173	0.083	0.004	0.133	0.274	1.000	0.000	0.102	0.000	0.221	0.149	0.197	0.000
Department:	0.394	0.513	0.184	0.062	0.000	0.189	0.000	0.000	0.124	0.000	0.000	0.135	0.105	0.079	0.000	0.000	1.000	0.512	0.091	0.251	0.000	0.301	0.000
Choose Current year:	0.953	0.405	0.139	0.021	0.231	0.154	0.076	0.162	0.046	0.214	0.021	0.080	0.060	0.000	0.000	0.102	0.512	1.000	0.210	0.000	0.071	0.097	0.116
According to you, what need does social media fulfill?	0.129	0.000	0.000	0.126	0.008	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.093	0.000	0.000	0.000	0.091	0.210	1.000	0.145	0.000	0.051	0.025
How many social media platforms are you on?	0.000	0.000	0.000	0.042	0.390	0.387	0.667	0.366	0.244	0.420	0.599	0.433	0.512	0.065	0.352	0.221	0.251	0.000	0.145	1.000	0.784	0.534	0.181
Time spend on Reddit? (In hours)	0.144	0.000	0.000	0.000	0.179	0.036	0.000	0.382	0.404	0.668	0.566	0.379	0.409	0.000	0.111	0.149	0.000	0.071	0.000	0.784	1.000	0.472	0.106
Time spend on Discord? (In hours)	0.165	0.000	0.000	0.298	0.000	0.223	0.000	0.249	0.144	0.631	0.325	0.177	0.166	0.000	0.000	0.197	0.301	0.097	0.051	0.534	0.472	1.000	0.142
Do you consider yourself to be addicted to social media?	0.000	0.000	0.000	0.247	0.080	0.159	0.000	0.175	0.068	0.101	0.178	0.000	0.208	0.104	0.355	0.000	0.000	0.116	0.025	0.181	0.106	0.142	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Timestamp	Enter your Name:	Roll Number:	Department:	Choose Current year:	Enter Marks(percentage) For 10th Grade:	Enter Marks (percentage) For Previous Semester:	Add a Screen Shot of your Screen time:	How often do you use social media ? (In hours)	According to you, what need does social media fulfill?	How many social media platforms are you on?	Time spent on WhatsApp? (In hours)	Time spend on Instagram? (In hours)	Time spend on YouTube? (In hours)	Time spend on Snapchat? (In hours)	Time spend on Discord? (In hours)	Time spend on Twitter? (In hours)	Time spend on Telegram? (In hours)	Overall time spent on other application? (In hours)	What is the maximum time that you have spent away from your phone? (In hours)	Do you consider yourself to be addicted to social media?	Entertainment usage time while using phone(per day) (In hours)	Productivity and finance time while using phone (per day)(In hours)	Email Address
0	4/5/2023 11:06:22	Patel Areeb Aatif	210414	Computer	Second year	93.20	80.63	https://drive.google.com/open?id=1rqW8MeJ6sufzPWXXudkNGkfL3EY94Qpk	17.0	Educational, Entertainment, Research/Reading, Gaming	WhatsApp, Instagram, YouTube, Snapchat	1.0	2.0	0.0	1.0	0	0.0	0.0	2.0	7.0	Maybe	2.0	1.0	areebpatel079@gmail.com
1	4/5/2023 11:23:32	Safi punjabi	220816	Information Technology	First year	85.00	65.00	https://drive.google.com/open?id=1Gj_0fIUla_PahgiXiufgHE_aIpwTyCSR	10.0	Educational, Entertainment, Research/Reading, Gaming	WhatsApp, Instagram, Facebook, YouTube, Snapchat, Discord, Twitter	1.0	2.0	3.0	2.0	0.5	0.0	0.0	1.0	16.0	Maybe	4.0	3.0	safipunjabi007@gmail.com
2	4/5/2023 11:47:12	Shaikh mohd yaseen	210817	Information Technology	Second year	85.00	63.00	https://drive.google.com/open?id=1HWisWbixa_bZr0RjBEIxks7_26yIKZbK	10.0	Educational, Entertainment, Research/Reading	WhatsApp, Instagram, Facebook, YouTube, Snapchat, Discord, Twitter,	3.0	7.0	5.0	1.0	2	1.0	1.0	2.0	10.0	Yes	5.0	2.0	shaikhyaseen123838@gmail.com
3	4/5/2023 11:47:52	Rida shaikh	220882	Information Technology	Second year	62.00	69.00	https://drive.google.com/open?id=1zn3JdjGfGBBarwz-eywYx_ooj5FQDrZp	2.0	Entertainment	WhatsApp, Instagram, YouTube, Snapchat, Discord, Pinterest	1.0	3.0	2.0	1.0	0	0.0	0.0	2.0	9.0	No	3.0	5.0	ridashaikh12786@gmail.com
4	4/5/2023 11:55:21	Alfiya patel	20529	Electronics	Third year	77.20	81.67	https://drive.google.com/open?id=1f2imoo4xSAa0JpCzqttgvR_UnefZo0rS	2.0	Educational, Entertainment	WhatsApp, YouTube, Snapchat, Pinterest, Twitter	1.0	0.0	3.0	1.0	0	1.0	0.0	1.0	16.0	No	2.0	1.0	patelalfiya2004@gmail.com
5	4/5/2023 11:56:44	Moiz Ahmed Shabbir Jamedar	20516	Electronics	Third year	72.00	60.00	https://drive.google.com/open?id=1WiqNz1eL3p57t_K2cxPvGlJgCA98EkAk	1.0	Educational, Entertainment, Research/Reading	WhatsApp, Instagram, YouTube, Snapchat, Pinterest	1.0	1.0	0.0	1.0	0	0.0	0.0	0.0	6.0	Maybe	2.0	2.0	jmoizahmed@gmail.com
6	4/5/2023 11:57:51	Shaikh mohammed mohtashim mukhtar Ahmed	20548	Artificial Intelligence	Third year	60.00	60.00	https://drive.google.com/open?id=12FN8ZbG8-2YqK3rjmTocI24eyPb03kPl	0.0	Entertainment	WhatsApp	5.0	0.0	5.0	1.0	0	0.0	0.0	11.0	11.0	No	11.0	0.0	shaikhmohtashim11@gmail.com
7	4/5/2023 12:01:23	Supariwala Mohd Muzzammil Ashfak	20561	Electronics	Third year	57.00	65.00	https://drive.google.com/open?id=19ArGDZ9HcoapbBddgWgL4BZ9NpUMvcSK	2.0	Educational, Entertainment, Gaming	WhatsApp, Instagram, Facebook, YouTube, Snapchat, Telegram	1.0	1.0	1.0	1.0	0	0.0	1.0	3.0	10.0	Maybe	2.0	1.0	muzzammilmohd987@gmail.com
8	4/5/2023 12:02:26	Shaikh Mahinoor Mohammed Yasin	20544	Electronics	Third year	69.40	75.28	https://drive.google.com/open?id=1D3dZTUjg2GsvPAqBopa7cexuxK1ZWNzF	0.0	Educational	WhatsApp, YouTube, Snapchat,	2.0	0.0	1.0	0.0	0	0.0	0.0	1.0	15.0	No	1.0	1.0	mahinoorshaikh777@gmail.com
9	4/5/2023 12:03:21	Zau-fishan Rangrez Mohammed Aslam	20531	Electronics	Third year	59.78	71.16	https://drive.google.com/open?id=14Qzrd5eCyICZixgvUgqBoMX4tf63ZWmq	1.0	Educational	WhatsApp, YouTube, Snapchat	1.0	1.0	1.0	1.0	0	0.0	0.0	4.0	15.0	Maybe	1.0	1.0	zufisha08@gmail.com

	Timestamp	Enter your Name:	Roll Number:	Department:	Choose Current year:	Enter Marks(percentage) For 10th Grade:	Enter Marks (percentage) For Previous Semester:	Add a Screen Shot of your Screen time:	How often do you use social media ? (In hours)	According to you, what need does social media fulfill?	How many social media platforms are you on?	Time spent on WhatsApp? (In hours)	Time spend on Instagram? (In hours)	Time spend on Facebook? (In hours)	Time spend on YouTube? (In hours)	Time spend on Snapchat? (In hours)	Time spend on Reddit? (In hours)	Time spend on Discord? (In hours)	Time spend on Pinterest? (In hours)	Time spend on Twitter? (In hours)	Time spend on Telegram? (In hours)	Overall time spent on other application? (In hours)	What is the maximum time that you have spent away from your phone? (In hours)	Do you consider yourself to be addicted to social media?	Entertainment usage time while using phone(per day) (In hours)	Productivity and finance time while using phone (per day)(In hours)	Email Address
150	4/6/2023 14:30:52	Sarah Ansari	20409	Computer	Third year	94.0	91.89	https://drive.google.com/open?id=1hEL2pvDVgkZ4U0tU96bdyOO4Wsm0wUH2	5.0	Entertainment	WhatsApp, Instagram, YouTube, Snapchat, Pinterest	3.0	1.00	0.0	1.0	1.0	0	I don't use this Social media Application	1.0	0.00	0.0	2.0	8.0	No	2.0	0.0	sarahansari0007@gmail.com
151	4/6/2023 14:32:42	Iqra	20401	Computer	Third year	88.0	87.00	https://drive.google.com/open?id=1TlKZe1rEk_6Lvq3WvbRnbZs1zqMjPUnM	2.0	Educational	WhatsApp, Instagram, YouTube, Snapchat	2.0	2.00	0.0	2.0	1.0	0	0	0.0	0.00	0.0	7.0	16.0	No	0.0	4.0	iqraa0460@gmail.com
152	4/6/2023 14:33:02	Ashish Khobragade	21482	Computer	Third year	56.0	79.87	https://drive.google.com/open?id=1-awZnTm0zOqjxN_En2NuixDh724gXPUv	2.5	Educational, Research/Reading	WhatsApp, Instagram, YouTube	1.0	1.00	0.0	1.0	0.0	0	0	0.0	0.00	0.0	1.0	15.0	No	2.0	2.0	ashishkhobragade450@gmail.com
153	4/6/2023 14:34:38	Siddique Mamoon	20461	Computer	Third year	85.0	86.00	https://drive.google.com/open?id=1rvDQ0LR-EdcyrWEFPQP2iNcnpLi5U9--	2.0	Educational, Entertainment, Research/Reading, Gaming	WhatsApp, Instagram, YouTube, Snapchat, Telegram,	0.5	1.00	0.0	1.0	0.2	0	0	0.0	0.00	0.5	1.0	12.0	Maybe	3.0	2.0	mr.five1714111@gmail.com
154	4/6/2023 14:38:29	Aiman Aijaz Dabir	20414	Computer	Third year	91.0	90.00	https://drive.google.com/open?id=1Ai7a5XjkVtFfWP_vMjHyjTkDMEIHsIxm	4.0	Educational, Entertainment, Research/Reading	WhatsApp, Instagram, YouTube, Snapchat, Pinterest, Twitter, Telegram,	2.0	2.00	0.0	1.0	1.0	0	0	1.0	0.00	0.0	1.0	10.0	No	2.0	3.0	aimandabir198@gmail.com
155	4/6/2023 14:39:04	Sayed amaan	20440	Computer	Third year	88.0	82.00	https://drive.google.com/open?id=1LryDk_XSnQzOpPb5fVuYcgV3rO21Zm56	12.0	Educational, Entertainment, Gaming	WhatsApp, Instagram, Facebook, YouTube, Snapchat, Discord, Twitter, Telegram	6.0	7.00	2.0	5.0	3.0	0	1	1.0	1.00	3.0	4.0	12.0	Maybe	10.0	4.0	sayedamaan6104@gmail.com
156	4/6/2023 14:43:44	Khan Omar	20426	Computer	Third year	89.0	86.00	https://drive.google.com/open?id=10qclrJSEJoc6Qx4SeGMT8-2Kmtjvnrlq	2.0	Educational	WhatsApp, Instagram, YouTube, Snapchat, Pinterest	1.0	0.45	0.0	3.0	1.0	0	0.3	2.0	0.15	0.2	4.0	16.0	No	1.0	4.0	khanomar7777777@gmail.com
157	4/6/2023 15:01:00	Ansari Aatif Salman	20507	Electronics	Third year	63.8	69.68	https://drive.google.com/open?id=1C37JiZL8xB8dJiyJ-FXPu6Rc_otKogE5	2.0	Entertainment, Research/Reading	WhatsApp, Instagram, YouTube, Snapchat	1.0	1.00	0.0	4.0	0.0	0	0	0.0	0.00	0.0	5.0	5.0	No	4.0	2.0	ansariaatif2004@gmail.com
158	4/6/2023 15:25:50	Sharif	20417	Computer	Third year	85.0	85.00	https://drive.google.com/open?id=1onoMjyKTyXYFFkeHVPiuo3qk1-DEosda	3.5	Entertainment	WhatsApp, Instagram, YouTube, Snapchat, Reddit, Discord, Pinterest, Twitter, Telegram	2.0	2.00	0.0	1.0	1.0	1	1	0.5	0.50	0.5	3.0	3.0	Maybe	3.0	4.0	hamdulesharif555@gmail.com
159	4/6/2023 15:45:11	Naufil	20442	Computer	Third year	90.0	80.00	https://drive.google.com/open?id=1TX8aSVFA_D8QkOAHgzIV4bDcSJkx9VCr	2.0	Entertainment, Research/Reading	WhatsApp, Instagram, YouTube, Snapchat	2.0	1.00	0.0	1.0	0.5	0	0	0.0	0.00	0.0	1.5	16.0	Maybe	2.0	0.5	naufilsayyed14@gmail.com

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Math Symbol

Connector Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script